interpretable-control

This paper evaluates whether large language models can function as interpretable controllers for dynamical systems, specifically a thermal environment. It finds that high-complexity models like Qwen-3 14B and GPT-4o achieve accurate control and coherent reasoning, while smaller models struggle, highlighting opportunities for hybrid model-based and language-driven control strategies.